Answer: A workload that applies business logic to create aggregated metrics

## Explanation In the Databricks Lakehouse medallion architecture: - **Bronze tables** contain raw, unprocessed data from source systems - **Silver tables** contain cleaned, validated, and enriched data ready for business use - **Gold tables** contain aggregated, summarized data for reporting and analytics A Silver table serves as the source for workloads that: - Curate data for dashboards and BI tools - Prepare data for downstream analytics - Provide clean, reliable data for business applications **Option A** is incorrect because this is a data cleaning and preparation task. It typically happens when creating a Silver table. The source for this job would be a Bronze table. **Option B** is incorrect because ingesting raw data from streaming sources would use Bronze tables as the source. **Option C** is incorrect because joining multiple data sources typically happens during the Silver layer processing, not using Silver as a source. **Option D** is correct because D. This is the definitive process for creating a Gold table. The source for this aggregation job is the cleaned, reliable data in the Silver table. **Option E** is incorrect because cleansing data by removing malformed records is typically done during the Bronze to Silver transformation process.

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